情報理論SGセミナー
22 イベント
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セミナー
Journal Club of Information Theory SG II
2020年12月8日(火) 13:00 - 14:00
田中 章詞 (数理創造プログラム 上級研究員)
The practical updating process of deep neural networks based on stochastic gradient descent is quite similar to stochastic dynamics described by Langevin equation. Under the Langevin system, we can "derive" 2nd law of thermodynamics, i.e. increasing the total entropy of the system. This fact suggests "2nd law of thermodynamics in deep learning." In this talk, I would like to explain this idea roughly, and there will be no concrete new result, but it may provide us new perspectives to study neural networks, I hope.
会場: via Zoom
イベント公式言語: 英語
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セミナー
Journal Club of Information Theory SG
2020年12月1日(火) 13:00 - 14:00
田中 章詞 (数理創造プログラム 上級研究員)
The practical updating process of deep neural networks based on stochastic gradient descent is quite similar to stochastic dynamics described by Langevin equation. Under the Langevin system, we can "derive" 2nd law of thermodynamics, i.e. increasing the total entropy of the system. This fact suggests "2nd law of thermodynamics in deep learning." In this talk, I would like to explain this idea roughly, and there will be no concrete new result, but it may provide us new perspectives to study neural networks, I hope. *Detailed information about the seminar refer to the email.
会場: via Zoom
イベント公式言語: 英語
22 イベント